Author

Sanghee Cho

GE Global Research (United States)ORCID 0000-0001-6715-9348Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 4 Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 6 Research Focus:spatial domain detection· 4 Approach:experimental assay· 3 Assay:imaging· 3 Assay:spatial transcriptomics· 3 Assay:bulk RNA-seq· 2 Research Focus:cell type annotation· 2 Approach:deep learning· 2

Frequent Co-Authors

Elizabeth McDonoughiD· 6 shared Fiona GintyiD· 6 shared Anna SturrockiD· 3 shared Batuhan KısakoliD· 3 shared Daniel B. LongleyiD· 3 shared Deborah A. McNamaraiD· 3 shared Jochen H.M. PrehniD· 3 shared John F. GrafiD· 3 shared

Activity by Year

2019-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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6 shared papersCancer Biology

Elizabeth McDonoughORCID

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Author profile →

6 papers

Recent·Most cited

Cell engulfment defines spatially distinct competitive metabolic niches associated with clinical outcomes in colorectal cancer

Emir Bozkurt, Batuhan Kısakol, Heiko Düßmann, Federico Lucantoni, Anna Sturrock, Mohammadreza Azimi, Sanghee Cho, Elizabeth McDonough, Joana Fay, Tony O’Grady, John P. Burke, Niamh McCawley, Deborah A. McNamara, Daniel B. Longley, Fiona Ginty, Jochen H.M. Prehn

The paper investigates cell engulfment in colorectal cancer, showing it creates competitive metabolic niches linked to clinical outcomes.

Cell Death and Differentiation · Jun 30, 2026Peer-reviewedCancer Biology

Multi-Scale Tri-Modal Histology Dataset Integrating Tumor Morphology, Immune Patterns, and Clinical Outcomes

Kyeong Joo Jung, Jianwei Qiu, Sanghee Cho, Elizabeth McDonough, Chrystal M. Chadwick, Soumya Ghose, Robert B. West, James D. Brooks, Fiona Ginty, Raghu Machiraju, Parag Mallick

Prostate-TriMod integrates visual morphology, spatial tissue maps, and clinical outcomes for prostate cancer to enable multimodal AI research.

bioRxiv · May 19, 2026 · PreprintBioinformatics

A neural network model delivers a highly prognostic protein signature in cancer stem cells that identifies relapse in stage III colorectal cancer patients.

Anna Matveeva, Sanghee Cho, Manuela Salvucci, Marc Sturrock, Joanna Fay, Tony O’Grady, Elizabeth McDonough, Christine Surrette, Jinru Shia, Canan Fırat, Nil Urgancı, Batuhan Kısakol, Emer O’Connell, John P. Burke, Niamh McCawley, , Jochen H.M. Prehn

This paper identifies a five-protein stem cell signature using a deep neural network that predicts relapse in stage III colorectal cancer patients.

bioRxiv · Mar 3, 2026 · PreprintCancer Biology

Annotation-Free Prediction of Cancer Cells and Glands and Spatial Analysis of Immune Cells.

Kyeong Joo Jung, Soumya Ghose, Sanghee Cho, Elizabeth McDonough, Chrystal M. Chadwick, Robert B. West, James D. Brooks, Dongjun Chung, Fiona Ginty, Raghu Machiraju, Parag Mallick

The paper develops TOPAZ, a tool that predicts cancerous cells/glands and analyzes immune cell spatial relationships in prostate cancer, finding that immune cell distance from cancer glands correlates with recurrence risk.

bioRxiv · Nov 9, 2025 · PreprintCancer Biology

High-Resolution Spatial Proteomics Characterises Colorectal Cancer Consensus Molecular Subtypes

Batuhan Kısakol, Anna Sturrock, Sanghee Cho, Mohammadreza Azimi, Andreas Ulrich Lindner, Manuela Salvucci, Elizabeth McDonough, Joanna Fay, Tony O’Grady, Niamh McCawley, John Patrick Burke, Deborah A. McNamara, John F. Graf, Simon S. McDade, Daniel B. Longley, , Jochen H.M. Prehn

This study uses high-resolution spatial proteomics to characterize colorectal cancer consensus molecular subtypes at single-cell resolution, revealing subtype-specific immune and metabolic features.

bioRxiv · May 7, 2025 · PreprintCancer Biology

Tumor cell phenotype and heterogeneity differences in IDH1 mutant vs wild-type gliomas

Michael E. Berens, Anup Sood, Jill S. Barnholtz‐Sloan, John F. Graf, Sanghee Cho, Seungchan Kim, Jeffrey Kiefer, Sara Ann Byron, Rebecca F. Halperin, Sara Nasser, Jonathan R. Adkins, Lori Cuyugan, Karen Devine, Quinn T. Ostrom, Marta Couce, , Fiona Ginty

This study compares tumor cell phenotype and heterogeneity differences between IDH1 mutant and wild-type gliomas using integrated multi-omics data.

PLoS ONE · Dec 27, 2019Peer-reviewedGenomics